Byte Latent Transformer
The Byte Latent Transformer (BLT) is a tokenizer-free large language model architecture introduced by researchers at Meta AI's Fundamental AI Research (FAIR) group in December 2024.
Meta AI
Explore Meta AI through related topics and the articles other pages reference most.
Explore articles
Browse subtopics: Model Architecture
Articles that also belong to these categories. Counts cover all of Meta AI.
All articles (103)AI Models (25)Large Language Models (20)Open Source AI (17)Computer Vision (14)Multimodal AI (12)AI Hardware (10)AI Tools & Products (8)Generative AI (8)Natural Language Processing (8)Speech & Audio AI (8)AI Agents (7)Data Centers (7)Data & Datasets (6)AI Infrastructure (5)AI Research (5)Developer Tools (5)Image Generation (5)Machine Learning (5)People (5)Model Architecture (4)AI Code Generation (3)AI for Science (3)Deep Learning (3)Embodied AI (3)Video Generation (3)AI Inference (2)AI in Gaming (2)Conversational AI (2)Mixture of Experts (2)Model Evaluation (2)Music & Audio Generation (2)Reinforcement Learning (2)Training & Optimization (2)Transformer Models (2)AI Benchmarks (1)AI Incidents & Controversies (1)AI Policy & Regulation (1)AI Safety (1)Artificial Intelligence (1)Information Retrieval (1)Reasoning Models (1)Research Organizations (1)Robotics (1)Voice AI (1)
Showing 1-4 of 4 articles
Joint Embedding Predictive Architecture
Joint Embedding Predictive Architecture (JEPA) is a family of self-supervised, non-generative neural network architectures proposed by Yann LeCun in his June 2022 position paper A Path Towards Autonomous…
Large Concept Model
A Large Concept Model (LCM) is a research approach to language modeling, introduced by Meta AI's Fundamental AI Research (FAIR) group in December 2024
MEGABYTE
MEGABYTE is a transformer architecture for autoregressive modeling of very long sequences directly at the byte level, introduced by researchers at Meta AI (FAIR) in May 2023.